Case Study: Strøjer Tegl's Successful Implementation of Siana

Introduction
Strøjer Tegl, a Danish company that has been manufacturing top-quality bricks and clay products since 1868, prides itself on a legacy of combining traditional craftsmanship with innovative technology. Renowned for their excellence and reliability in the industry, Strøjer Tegl constantly seeks ways to enhance their production processes and ensure uninterrupted operations. This case study highlights how Strøjer Tegl effectively utilizes Siana, a predictive maintenance solution, to avoid machine breakdowns and minimize unplanned downtime.

Challenges Faced
Strøjer Tegl's production heavily relies on the efficient functioning of their production machines. Any unexpected breakdown or prolonged downtime can severely disrupt operations, leading to significant loss of productivity, revenue, and increased costs from wasted resources, including labor, energy, and raw materials. To mitigate these challenges, Strøjer Tegl sought a proactive solution to detect and address emerging machine failures before they caused significant disruptions.

Implementing the Siana System
In the fall of 2022, Strøjer Tegl adopted Siana, a state-of-the-art predictive maintenance system used for monitoring rotating machines, including motors, pumps, bearings etc. This decision proved instrumental in streamlining their maintenance processes and ensuring uninterrupted machine performance throughout their manufacturing plant - while it also adds security and "peace of mind" knowing that their own machines are monitored continuously.

Detection of Emerging Failure
Shortly after implementing Siana, at the end of November 2022, signs of an emerging failure within one of Strøjer Tegl's crucial machines (an industrial fan used for their large tunnel oven) were automatically flagged by the system. The Siana platform promptly notified the maintenance staff, providing them with real-time information about the developing issue. Recognizing the urgency, the maintenance team closely monitored the situation.

Proactive Maintenance Planning
Approximately a week later, as the emerging failure progressed to a more critical point, Siana confirmed the need for maintenance planning. Thus the maintenance team received another notification from the Siana platform, prompting them to take action. Leveraging the insights provided by Siana, the maintenance team at Strøjer Tegl strategically planned the maintenance for the machine, a month later, during the period between Christmas and New Year's, thus capitalizing on an already scheduled production stop.

Successful Repair and Improved Operations
During the scheduled maintenance, the Strøjer Tegl maintenance team identified an emerging bearing failure and promptly replaced the faulty component. After resuming operations, the Siana platform data revealed that the repair had successfully enhanced the machine's performance. This successful intervention, made possible by the timely detection and proactive maintenance planning facilitated by the Siana System, prevented a costly breakdown and minimized unplanned downtime.

Conclusion
Strøjer Tegl's successful implementation of the Siana System exemplifies how Siana’s predictive maintenance technology can be harnessed to avoid machine breakdowns and mitigate unplanned downtime. By leveraging the insights provided by Siana, Strøjer Tegl effectively addressed emerging failures, ensuring uninterrupted production and upholding their reputation for excellence and reliability. The partnership between Strøjer Tegl and Siana stands as a testament to the power of innovative solutions in driving operational efficiency and maximizing productivity in the manufacturing industry.